Web: http://arxiv.org/abs/2209.08455

Sept. 20, 2022, 1:12 a.m. | Kang Chen, Shaochen Wang, Beihao Xia, Dongxu Li, Zhen Kan, Bin Li

cs.CV updates on arXiv.org arxiv.org

Transparent objects are widely used in industrial automation and daily life.
However, robust visual recognition and perception of transparent objects have
always been a major challenge. Currently, most commercial-grade depth cameras
are still not good at sensing the surfaces of transparent objects due to the
refraction and reflection of light. In this work, we present a
transformer-based transparent object depth estimation approach from a single
RGB-D input. We observe that the global characteristics of the transformer make
it easier to …

arxiv transformer

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